Xuanyi Dong | DeepAI

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Bo Li
461 publications
Yi Yang
329 publications
Shuicheng Yan
187 publications
Wanli Ouyang
169 publications
Percy Liang
165 publications
Cho-Jui Hsieh
147 publications
Bin Yang
145 publications
Yan Yan
126 publications
Yanwei Fu
125 publications
Quoc V. Le
113 publications
Dongsheng Li
104 publications

∙ 05/17/2023

DoReMi: Optimizing Data Mixtures Speeds Up Language Model Pretraining

The mixture proportions of pretraining data domains (e.g., Wikipedia, bo...

0 Sang Michael Xie, et al. ∙

∙ 02/13/2023

Symbolic Discovery of Optimization Algorithms

We present a method to formulate algorithm discovery as program search, ...

0 Xiangning Chen, et al. ∙

∙ 02/03/2023

PyGlove: Efficiently Exchanging ML Ideas as Code

The increasing complexity and scale of machine learning (ML) has led to ...

0 Daiyi Peng, et al. ∙

∙ 04/28/2022

Triformer: Triangular, Variable-Specific Attentions for Long Sequence Multivariate Time Series Forecasting–Full Version

A variety of real-world applications rely on far future information to m...

1 Razvan-Gabriel Cirstea, et al. ∙

∙ 12/16/2021

Automated Deep Learning: Neural Architecture Search Is Not the End

Deep learning (DL) has proven to be a highly effective approach for deve...

17 Xuanyi Dong, et al. ∙

∙ 11/05/2021

Recognizing Vector Graphics without Rasterization

In this paper, we consider a different data format for images: vector gr...

11 Xinyang Jiang, et al. ∙

∙ 08/30/2021

Full-Cycle Energy Consumption Benchmark for Low-Carbon Computer Vision

The energy consumption of deep learning models is increasing at a breath...

6 Bo Li, et al. ∙

∙ 02/17/2021

Rethinking Co-design of Neural Architectures and Hardware Accelerators

Neural architectures and hardware accelerators have been two driving for...

15 Yanqi Zhou, et al. ∙

∙ 02/03/2021

Isometric Propagation Network for Generalized Zero-shot Learning

Zero-shot learning (ZSL) aims to classify images of an unseen class only...

6 Lu Liu, et al. ∙

∙ 01/25/2021

Supervision by Registration and Triangulation for Landmark Detection

We present Supervision by Registration and Triangulation (SRT), an unsup...

7 Xuanyi Dong, et al. ∙

∙ 01/21/2021

PyGlove: Symbolic Programming for Automated Machine Learning

Neural networks are sensitive to hyper-parameter and architecture choice...

30 Daiyi Peng, et al. ∙

∙ 08/28/2020

NATS-Bench: Benchmarking NAS algorithms for Architecture Topology and Size

Neural architecture search (NAS) has attracted a lot of attention and ha...

13 Xuanyi Dong, et al. ∙

∙ 06/05/2020

AutoHAS: Differentiable Hyper-parameter and Architecture Search

Neural Architecture Search (NAS) has achieved significant progress in pu...

0 Xuanyi Dong, et al. ∙

∙ 01/02/2020

NAS-Bench-102: Extending the Scope of Reproducible Neural Architecture Search

Neural architecture search (NAS) has achieved breakthrough success in a ...

0 Xuanyi Dong, et al. ∙

∙ 10/13/2019

One-Shot Neural Architecture Search via Self-Evaluated Template Network

Neural architecture search (NAS) aims to automate the search procedure o...

0 Xuanyi Dong, et al. ∙

∙ 10/10/2019

Searching for A Robust Neural Architecture in Four GPU Hours

Conventional neural architecture search (NAS) approaches are based on re...

18 Xuanyi Dong, et al. ∙

∙ 08/06/2019

Teacher Supervises Students How to Learn From Partially Labeled Images for Facial Landmark Detection

Facial landmark detection aims to localize the anatomically defined poin...

5 Xuanyi Dong, et al. ∙

∙ 05/23/2019

Network Pruning via Transformable Architecture Search

Network pruning reduces the computation costs of an over-parameterized n...

0 Xuanyi Dong, et al. ∙

∙ 03/23/2019

Auto-ReID: Searching for a Part-aware ConvNet for Person Re-Identification

Prevailing deep convolutional neural networks (CNNs) for person re-IDent...

0 Ruijie Quan, et al. ∙

∙ 08/22/2018

Progressive Deep Neural Networks Acceleration via Soft Filter Pruning

This paper proposed a Progressive Soft Filter Pruning method (PSFP) to p...

0 Yang He, et al. ∙

∙ 08/21/2018

Soft Filter Pruning for Accelerating Deep Convolutional Neural Networks

This paper proposed a Soft Filter Pruning (SFP) method to accelerate the...

0 Yang He, et al. ∙

∙ 07/03/2018

Supervision-by-Registration: An Unsupervised Approach to Improve the Precision of Facial Landmark Detectors

In this paper, we present supervision-by-registration, an unsupervised a...

0 Xuanyi Dong, et al. ∙

∙ 03/12/2018

Style Aggregated Network for Facial Landmark Detection

Recent advances in facial landmark detection achieve success by learning...

0 Xuanyi Dong, et al. ∙

∙ 09/22/2017

EraseReLU: A Simple Way to Ease the Training of Deep Convolution Neural Networks

For most state-of-the-art architectures, Rectified Linear Unit (ReLU) be...

0 Xuanyi Dong, et al. ∙

∙ 07/22/2017

PatchShuffle Regularization

This paper focuses on regularizing the training of the convolutional neu...

0 Guoliang Kang, et al. ∙

∙ 06/26/2017

Few-shot Object Detection

In this paper, we study object detection using a large pool of unlabeled...

0 Xuanyi Dong, et al. ∙

∙ 03/25/2017

More is Less: A More Complicated Network with Less Inference Complexity

In this paper, we present a novel and general network structure towards ...

0 Xuanyi Dong, et al. ∙

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